CN112525997A - Isotropic pyrolytic graphite ultrasonic detection defect grading evaluation method - Google Patents
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
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- G01N29/04—Analysing solids
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- G01N29/0645—Display representation or displayed parameters, e.g. A-, B- or C-Scan
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- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/48—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by amplitude comparison
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Abstract
The invention provides a method for carrying out nondestructive detection and quality grading evaluation on isotropic inclusion defects in isotropic pyrolytic graphite workpieces by using ultrasonic waves, which provides a reference block for quality grading evaluation, wherein nine groups of artificial defects with unequal numbers of vertical through holes are processed on the reference block, the vertical through holes with unequal numbers are used for simulating the loosening degrees of different degrees, and the reference block is used for making a loosening degree change characterization curve and testing the mechanical property indexes of samples with different loosening degrees, so that the corresponding relation between the reference block, the loosening degree and the product quality is established. Finally, different quality levels can be divided from isotropic inclusion defects by referring to a reference block, so that the application requirements can be met, and the utilization rate of products can be improved.
Description
Technical Field
The invention relates to the field of ultrasonic nondestructive detection, and provides a defect grading evaluation method for ultrasonic detection, which is used for isotropic inclusion defect detection and quality grading evaluation in isotropic pyrolytic graphite.
Background
The isotropic pyrolytic graphite is an excellent high-performance mechanical sealing material and a structural material, and has important application in the fields of aerospace, ships and the like due to the advantages of good mechanical property, self-lubricating property, sealing property, wear resistance, corrosion resistance, fatigue resistance and the like. In the preparation process of products, defects such as inclusions, pores and the like may occur in local areas of materials due to fluctuation of process conditions, wherein the most common defect type is an isotropic inclusion defect, and the isotropic inclusion defect is a loose structure and can cause reduction of mechanical properties of the products to a certain extent, so that the service life is influenced. Ultrasonic inspection is the most effective method for detecting such defects, and the principle is to utilize the waveform display of attenuation of bottom surface reflected echo caused by scattering of loose structure encountered by ultrasonic in the propagation process.
Not all isotropic inclusion defects, however, render isotropic pyrolytic graphite parts unusable. The main performance index for evaluating the isotropic pyrolytic graphite product is mechanical property, and for some important application fields, such as aerospace and weaponry fields, the requirement on the mechanical property index of the isotropic pyrolytic graphite product is higher, but for some civil fields, the requirement on the mechanical property index is lower. If the same quality division standard is adopted, the utilization rate of the product is reduced to a great extent.
Disclosure of Invention
In order to solve the problems, the invention provides an ultrasonic detection defect grading evaluation method of an isotropic pyrolytic graphite product, which provides a reference block for quality grading evaluation, wherein nine groups of artificial defects with unequal numbers of vertical through holes are processed on the test block, the vertical through holes with unequal numbers are used for simulating the loosening degrees of different degrees, and the reference block is utilized to manufacture a loosening degree change characterization curve and test the mechanical property indexes of samples with different loosening degrees, thereby establishing the corresponding relation between the reference block, the loosening degree and the product quality. Finally, different quality levels can be divided from isotropic inclusion defects by referring to a reference block, so that the application requirements can be met, and the utilization rate of products can be improved.
The technical scheme of the invention is as follows:
an isotropic pyrolytic graphite ultrasonic detection defect grading evaluation method is characterized by comprising the following steps:
connecting a detection probe with a water immersion automatic scanning mechanism with a C scanning imaging detection function, placing a manual contrast test block in a water tank, adjusting the levelness of the probe to enable the axial direction of an acoustic beam of the probe to be vertical to the surface of the manual contrast test block, moving the probe up and down, and adjusting the detection water distance to be within the range of 10-15 mm;
moving the probe to a non-defect position on an artificial reference test block, and calibrating the sound velocity of the material by using the primary bottom echo and the secondary bottom echo of the test block and the known thickness of the reference test block;
setting automatic scanning parameters including scanning and stepping ranges, speeds and scanning and stepping resolutions;
step four, keeping the water distance unchanged, scanning an artificial comparison test block, finding the bottom echo of the artificial defect at a single through hole in the test block, moving the probe forwards, backwards, leftwards and rightwards to find the lowest bottom echo, adjusting the height of the echo to 80% of the full screen of the waveform display, and using the height of the echo as the sensitivity for detecting the isotropic inclusion defect;
step five, keeping the detection sensitivity unchanged, scanning the manual reference block again, and storing the detection data of the reference block;
moving the probe above the detected workpiece, adjusting the levelness between the probe and the detected workpiece, and adjusting the water distance to be the detection water distance;
seventhly, arranging gates, enabling one gate to monitor the interfacial waves, and enabling the other gate to be in an interfacial wave following mode to monitor the bottom wave change;
step eight, adjusting scanning and stepping ranges, scanning the workpiece according to the calibrated sensitivity, and storing the detection data of the workpiece;
step nine, opening the detection data of the manual comparison test block in analysis software (such as Tomoview), and measuring the bottom wave amplitude B of the hole corresponding to the quality grade on the comparison test block according to the quality grade accepted1,B2,B3……;
Step ten, opening the detection data of the detected workpiece in analysis software (such as Tomoview), setting the color level displayed by the imaging result as a threshold mode, wherein the numerical value of each threshold is equal to the required acceptance level, namely the bottom wave amplitude B of the corresponding hole1,B2,B3… …, displaying different quality grades as different colors, and determining whether the user can accept the product;
in the method, the frequency of a used detection probe is 5-15 MHz, and the probe is a flat probe, a point focusing probe or a line focusing probe;
the isotropic inclusion defect is a loose structure formed by carbon black inclusion and coarse pores, and can cause attenuation of echo reflected by ultrasound on the bottom surface of a workpiece;
in the method, nine groups of mutually parallel vertical through hole artificial defects are processed on the artificial reference block, the number of each group of holes is 1-9, wherein the 1 st group is provided with one through hole, and each group in the backward direction is provided with one more through hole than the previous group; the distribution rule of each group of holes is as follows: one hole is arranged at the central position, and the other holes are equidistantly distributed on a concentric circle with the diameter of 1-4 mm.
As a preferred technical scheme: the diameter of the single through hole isMost preferably: the diameter of a single through hole is 0.3mm, and the diameter of a concentric circle is 2 mm.
In the method, when the probes are respectively placed above each group of holes of the artificial reference block, the generated bottom waves have different attenuation degrees, and the attenuation degree is larger when the number of the group of holes is larger; drawing a porosity characterization curve by taking the number of holes as an abscissa and the bottom wave attenuation as an ordinate, wherein the curve has a linear change rule;
the quality grades are A, B, C and unqualified four grades, respectively correspond to the 1 st group, the 3 rd group and the 5 th group of holes on the manual comparison test block, and when the bottom wave attenuation is less than or equal to the 1 st group of holes, the quality grade is A grade; when the bottom wave attenuation is greater than the 1 st group of holes but less than or equal to the 3 rd group of holes, the quality grade is B grade; when the bottom wave attenuation is greater than the 3 rd group of holes but less than or equal to the 5 th group of holes, the quality grade is C grade; when the bottom wave attenuation is greater than the 5 th group of holes, the quality grade is not good.
The invention has the advantages that:
the invention utilizes an ultrasonic imaging detection method to detect the isotropic inclusion defect in the isotropic pyrolytic graphite product, and establishes a grading evaluation method for the isotropic inclusion defect by referring to a reference block capable of simulating the loosening degree of the isotropic inclusion defect. According to different requirements of different application fields on the performance of the graphite product, different quality grades can be adopted respectively, so that the strict quality requirements of the graphite product in important application fields such as aerospace, weaponry and the like can be guaranteed, and the use requirements in some civil fields can be met, so that the utilization rate of the product can be improved, and the economic benefit is improved.
Drawings
FIG. 1 is a schematic diagram of a manual reference block for quality grading evaluation.
FIG. 2 top view of a manual reference block for quality grading assessment.
Detailed Description
An isotropic pyrolytic graphite ultrasonic detection defect grading evaluation method is characterized by comprising the following steps:
step one, in a detection preparation stage, the horizontal plane between the plane of the probe and the surface of the workpiece needs to be adjusted, and the consistent detection sensitivity of the ultrasonic sound beam at each position of the surface of the workpiece is ensured. Connecting a detection probe with a water immersion automatic scanning mechanism with a C-scan imaging detection function, placing a manual contrast test block in a water tank, adjusting the levelness of the probe to ensure that the axial direction of a sound beam of the probe is vertical to the surface of the manual contrast test block, moving the probe up and down, and adjusting the detection water distance to be within the range of 10-15 mm;
moving the probe to a non-defect position on the manual comparison test block, using the calibration function of an ultrasonic detection instrument, firstly selecting a primary bottom echo of the test block by using a gate frame and inputting the thickness of the test block, then moving the position of the gate, framing a secondary bottom echo of the test block, inputting double thickness, and automatically calibrating the sound velocity of the material;
setting automatic scanning parameters including scanning and stepping ranges, speeds and scanning and stepping resolutions;
step four, keeping the water distance unchanged, scanning an artificial comparison test block, finding the bottom echo of the artificial defect at a single through hole in the test block, moving the probe forwards, backwards, leftwards and rightwards to find the lowest bottom echo, adjusting the height of the echo to 80% of the full screen of the waveform display, and using the height of the echo as the sensitivity for detecting the isotropic inclusion defect;
step five, keeping the detection sensitivity unchanged, scanning the manual reference block again, and storing the detection data of the reference block;
moving the probe above the detected workpiece, adjusting the levelness between the probe and the detected workpiece, and adjusting the water distance to be the detection water distance;
seventhly, arranging gates, enabling one gate to monitor the interfacial waves, and enabling the other gate to be in an interfacial wave following mode to monitor the bottom wave change;
step eight, adjusting scanning and stepping ranges, detecting the workpiece according to the calibrated sensitivity, and storing detection data, wherein the scanning and stepping ranges are determined by the size of the detected workpiece, and the scanning speed is adapted to the pulse repetition frequency and the scanning resolution of the instrument;
step nine, opening the detection data of the manual comparison test block in the analysis software Tomoview, and measuring the bottom wave amplitude B of the hole corresponding to the quality grade on the comparison test block according to the quality grade accepted1,B2,B3……;
Step ten, opening the detection data of the detected workpiece in analysis software Tomovieview, setting the color level displayed by the imaging result into a threshold mode, wherein the setting of each threshold corresponds to the required acceptance grade, and different display colors correspond to different quality grades;
in the method, the frequency of the used detection probe is 10MHz, and the probe is a flat probe, a point focusing probe or a line focusing probe;
as shown in figures 1 and 2, nine groups of vertical through hole artificial defects are processed on an artificial reference block, the number of each group of holes is 1-9 respectively, wherein the 1 st group is provided with one through hole, each group in the backward direction is respectively provided with one more through hole than the previous group, and the diameter of each through hole isThe distribution rule of each group of holes is as follows: a hole is arranged at the central position, and the other holes are equidistantly distributed on a concentric circle with the diameter of 2 mm;
in the method, when the probes are respectively placed above each group of holes of the artificial reference block, the generated bottom waves have different attenuation degrees, and the attenuation degree is larger when the number of the group of holes is larger; drawing a porosity characterization curve by taking the number of holes as an abscissa and the bottom wave attenuation as an ordinate, wherein the curve has a linear change rule;
the quality grades are A, B, C and unqualified four grades, respectively correspond to the 1 st group, the 3 rd group and the 5 th group of holes on the manual comparison test block, and when the bottom wave attenuation is less than or equal to the 1 st group of holes, the quality grade is A grade; when the bottom wave attenuation is greater than the 1 st group of holes but less than or equal to the 3 rd group of holes, the quality grade is B grade; when the bottom wave attenuation is greater than the 3 rd group of holes but less than or equal to the 5 th group of holes, the quality grade is C grade; when the bottom wave attenuation is larger than that of the 5 th group of holesWhen the quality grade is unqualified. The quality grade is divided according to the indexes of compression resistance and rupture resistance mechanical properties, the larger the bottom wave attenuation is, the larger the loose degree of the material structure is, and the worse the mechanical properties are; the compression resistance is 290N/mm2Above and the fracture resistance is 160N/mm2In the above, the quality grade is grade A; the compression resistance is 280-290N/mm2The bending resistance is 140-160N/mm2In between, the quality grade is grade B; the compression resistance is 260-280N/mm2And the bending resistance is 95-140N/mm2In between, the quality grade is grade C; the compression resistance is lower than 260N/mm2Or the bending resistance is lower than 95N/mm2When the quality grade is unqualified.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and the purpose thereof is to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the protection scope of the present invention. All equivalent changes and modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.
Moreover, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN113686961A (en) * | 2021-08-17 | 2021-11-23 | 武汉理工大学 | Curved surface part ultrasonic full-focusing defect quantitative detection method and system |
CN115561309A (en) * | 2022-06-09 | 2023-01-03 | 华北电力科学研究院有限责任公司 | Water immersion type automatic ultrasonic detection device and detection method for copper-aluminum transition wire clamp |
CN118823929A (en) * | 2024-09-13 | 2024-10-22 | 四川汉唐云分布式存储技术有限公司 | A risk identification method and system for self-service cashier |
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CN118823929A (en) * | 2024-09-13 | 2024-10-22 | 四川汉唐云分布式存储技术有限公司 | A risk identification method and system for self-service cashier |
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